Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations
In this perspective, we examine three key aspects of an end-to-end pipeline for realistic cellular simulations: reconstruction and segmentation of cellular structures; generation of cellular structures; and mesh generation, simulation, and data analysis. We highlight some of the relevant prior work...
Main Authors: | Ritvik Vasan, Meagan P. Rowan, Christopher T. Lee, Gregory R. Johnson, Padmini Rangamani, Michael Holst |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-01-01
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Series: | Frontiers in Physics |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fphy.2019.00247/full |
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